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Top Artificial Intelligence Jobs in Paris
The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, collaborate with product and design teams, and integrate APIs using frameworks like FastAPI, Django, or Flask. The role requires mentoring junior engineers and keeping up with AI trends to enhance product functionality.
The AI Engagement Manager will lead the development of enterprise AI solutions, collaborating with stakeholders to define use cases and ensuring successful deployments. Responsibilities include managing solution lifecycles, facilitating project plans, quantifying value metrics, and driving customer adoption and retention.
The AI Engineer will lead the design and development of deep learning models using high-resolution image data and analytical solutions on a cloud platform, focusing on model performance, data labeling strategies, and integrating these models into an automated pipeline.
The Sales Specialist will expand opportunities for Adobe Creative Cloud in enterprise accounts by developing strategies, managing relationships, and collaborating with internal teams. They will focus on closing deals and addressing customer challenges related to digital transformation.
As a Senior Backend and AI Engineer at Aircall, you will design, develop, deploy, and operate AI features that enhance client communication tools. Your responsibilities include mentoring team members, participating in requirements analysis, and implementing innovative AI solutions using diverse back-end technologies primarily hosted on AWS, ensuring high quality and security.
The Principal Software Engineer leads a team in designing and implementing AI-driven solutions, focusing on AI agents for optimizing supply chain operations. Responsibilities include providing technical direction, collaborating on product roadmaps, making design decisions, prototyping AI experiences, and integrating new solutions with existing products while managing technical risks and ensuring quality delivery.
As the AI Project Manager at Homa, you will lead transformative AI initiatives, managing project backlogs and collaborating with C-suite executives. Your role involves integrating AI tools into business processes and enhancing Gen-AI solutions across the organization, while developing strategic plans for future projects.
As a Data Scientist at Younited, you will leverage machine learning and deep learning to enhance lending decision-making models. You will collaborate with a team of experienced professionals to innovate product lines and automate processes, ultimately impacting financial outcomes and customer experiences.
The Staff Software Engineer will design, develop, and implement AI-driven solutions, focusing on AI agents for optimizing supply chain operations. Key responsibilities include rapid prototyping, developing LLM-powered products, maintaining RAG pipelines, and integrating AI solutions into the existing platform while ensuring continuous performance improvement.
The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.
The Sr. Course Development Engineer will create high-quality technical courses, mentor new hires, and collaborate with review engineers to enhance course content and effectiveness.
Outlier seeks experienced software engineers to provide coding expertise for training AI models. Responsibilities include crafting and evaluating computer science questions to enhance generative AI capabilities. This freelance role offers flexible hours and remote work options.
The AI Sales Specialist will focus on executing cloud services go-to-market strategies, educating stakeholders on Red Hat's Cloud Services value, and building relationships with cloud providers. The role requires strong sales experience, knowledge of the Kubernetes ecosystem, and expertise in cloud services and AI tools.
The AI Scientist - Safety will evaluate and enhance safety mechanisms for large language models, identify and mitigate risks and biases, develop monitoring systems for misuse, and collaborate on safety measures with the AI development team. The role focuses on ensuring that AI systems are ethical and beneficial while continuously improving safety practices.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
This role involves providing coding expertise to train AI models by crafting questions related to computer science, evaluating and ranking AI-generated code. It's a remote freelance position with flexible hours, requiring proficiency in multiple programming languages and attention to detail.
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